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Fault severity detection of ball bearings and efficiency of one-period analysis in early fault diagnosis of rotating machinery
Authors: Kilinc Onur | Vágner Jakub
Year: 2016
Type of publication: článek ve sborníku
Name of source: Vibroengineering Procedia
Publisher name: JVE International
Place: Kaunas
Page from-to: 76-81
Titles:
Language Name Abstract Keywords
cze Detekce závažných poruch valivých ložisek a efektivita one-period analýzy při včasné diagnostice rotačních strojů Tento příspěvek popisuje několik metod: Wavelet Packet Energy (WPE), Time-domain features and Multipoint Optimal Minimum Entropy Deconvolution Adjusted (MOMEDA) a One Period Analysis jako efektivní funkce pro diagnostiku rotačních strojů. Metody byly testovány na experimentálních datech z databáze Bearing Data Center of Case Western Reserve University (CWRU). diagnostika ložisek; wavelet packet energy; multipoint optimal minimum entropy deconvolution; one period analysis; support vector machine; Fisher linear discriminant analysis
eng Fault severity detection of ball bearings and efficiency of one-period analysis in early fault diagnosis of rotating machinery This paper investigates several number of methods: Wavelet Packet Energy (WPE), Time-domain features and Multipoint Optimal Minimum Entropy Deconvolution Adjusted (MOMEDA) which are efficient of extracting features in fault diagnosis of rotating machinery. The database, which is attained via Bearing Data Center of Case Western Reserve University (CWRU), includes signal samples related to the different faulty cases and severity levels of bearing type 6205-2RS JEM. Throughout the research, combination of different faulty sample signals which are segmented into different number of periods, one of which is so called one-period analysis, of rotation of the motor are used in order to classify early faults of bearings and five class severity levels of ball bearings. Upon using proposed approaches, an outstanding classification performance of 100% and 99,7% are observed in specificity of early faults by the use of one-period analysis and five severity level classification of ball faults, respectively. wavelet packet energy; multipoint optimal minimum entropy deconvolution; bearing fault diagnosis; one period analysis; support vector machine; Fisher linear discriminant analysis

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